The experimental average refractive index of liquid crystals and its prediction from the anisotropic indices
Literature Information
Anisotropic optical properties of liquid crystals (LC), combined with their fluidity, are crucial for the development of new liquid crystal devices and applications. The optical anisotropy implies an existence of various refractive indices that depend on the direction of light oscillation relative to the director vector. For some applications, it is, however, necessary to estimate an average refractive index (nav) for the liquid–crystalline material, which is commonly effected through models of combination of the anisotropic refractive indices. The validity of these models lacks proof as the experimental average refractive index for anisotropic fluids has not been published. This article reports an experimental strategy to measure nav of liquid crystals; the method is based on generating multiple orientations of the liquid crystal molecules through their isotropization in mixtures with isotropic liquids. The refractive index of an isotropic mixture is measured; then the apparent refractive index of the liquid crystal is extracted using validated combination models of refractive indices in mixtures. The method was assessed with two nematic liquid crystals (5CB and MBBA) mixed with several isotropic liquids. The results indicate that the average refractive index of a LC is an extrapolation, in the nematic range of temperatures, of the index variation above the nematic–isotropic transition. A new theoretical model to predict the average refractive indices of liquid crystals was developed. Compared with the traditional formulae, the new model represents a significant improvement for the calculation of nav.
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Physical Chemistry Chemical Physics

Physical Chemistry Chemical Physics (PCCP) is an international journal co-owned by 19 physical chemistry and physics societies from around the world. This journal publishes original, cutting-edge research in physical chemistry, chemical physics and biophysical chemistry. To be suitable for publication in PCCP, articles must include significant innovation and/or insight into physical chemistry; this is the most important criterion that reviewers and Editors will judge against when evaluating submissions. The journal has a broad scope and welcomes contributions spanning experiment, theory, computation and data science. Topical coverage includes spectroscopy, dynamics, kinetics, statistical mechanics, thermodynamics, electrochemistry, catalysis, surface science, quantum mechanics, quantum computing and machine learning. Interdisciplinary research areas such as polymers and soft matter, materials, nanoscience, energy, surfaces/interfaces, and biophysical chemistry are welcomed if they demonstrate significant innovation and/or insight into physical chemistry. Joined experimental/theoretical studies are particularly appreciated when complementary and based on up-to-date approaches.
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